These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...
A Python library for parsing binary data conforming to the Nasdaq TotalView-ITCH 5.0 protocol specification. This parser converts the raw byte stream into structured Python objects, making it easier ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
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